What automation solutions are you looking for in Crypto?

mannrodz

New member
I'm interested in learning more about what kinds of automated strategies or automation solutions people are actively searching for or wish existed whether for personal productivity, business, trading, or any other area when working with cryptocurrencies.
  • Are there specific repetitive tasks or workflows you wish you could automate?
  • What kinds of automated strategies (e.g. trading bots, data tracking, notifications) would make your life or work easier?
  • For those already using crypto automation tools, are you satisfied with your current setup, or do you feel there are important features missing or the tool is too complicated?
I'm currently developing a SaaS platform focused on crypto market tracking & trading automation, and I'm really hoping to build something that truly addresses real needs in the community. Any feedback, ideas, or suggestions you can share would be incredibly valuable and genuinely appreciated.
 
I'm currently developing a SaaS platform focused on crypto market tracking & trading automation, and I'm really hoping to build something that truly addresses real needs in the community.


sounds like you're on the right track—there’s definitely a need for smarter, more accessible automation tools in crypto. A lot of what’s out there is either too technical or too fragmented. Personally, I think people are looking for simpler ways to track activity across wallets, get meaningful alerts, and automate basic trading logic without needing to code or babysit bots. and from the marketing side, launching a platform like yours also benefits from automated traffic solutions that match the fast pace of crypto.


we run a self-serve DSP on CPC and CPM, helping crypto projects get real visibility with full control over spend and targeting. Would you be open to testing it when you're closer to launch?
 
In the fast - paced and highly volatile world of cryptocurrency, automation solutions have become not just a convenience but a necessity for many traders and investors. Here are some of the key automation areas that are in high demand:

1. Trading Automation

a. Algorithmic Trading Bots

  • Market - making bots: These bots are designed to provide liquidity to the market. They place both buy and sell orders at various price levels, profiting from the bid - ask spread. For example, in decentralized exchanges (DEXs) like Uniswap or PancakeSwap, market - making bots can continuously adjust their order books based on the current market conditions. They analyze factors such as trading volume, price trends, and the depth of the order book to determine the optimal price levels for their orders.
  • Trend - following bots: These automated systems identify trends in the cryptocurrency market, whether it's an uptrend, downtrend, or a sideways market. For instance, if a bot detects an uptrend in Bitcoin's price, it will automatically place buy orders. They often use technical indicators like moving averages, relative strength index (RSI), and Bollinger Bands to make trading decisions. Tools like 3Commas offer a suite of trading bots, including trend - following options, where users can customize parameters such as stop - loss and take - profit levels.
  • Arbitrage bots: Given the price discrepancies that exist across different cryptocurrency exchanges, arbitrage bots are extremely valuable. They scan multiple exchanges simultaneously for price differences in the same cryptocurrency pair. For example, if Bitcoin is trading at $60,000 on Exchange A and $60,500 on Exchange B, the arbitrage bot will quickly buy Bitcoin on Exchange A and sell it on Exchange B, pocketing the $500 difference (minus trading fees). Platforms like Bitsgap specialize in this area, providing users with the ability to set up arbitrage strategies across 25 + exchanges.
b. Automated Order Execution

  • Stop - loss and take - profit orders: These are fundamental in risk management. A stop - loss order is an automated instruction to sell a cryptocurrency when its price reaches a certain level, limiting potential losses. For example, if an investor bought Ethereum at $2,000 and sets a stop - loss at $1,800, the system will automatically sell Ethereum if the price drops to that level. On the other hand, a take - profit order is used to lock in profits. If the investor sets a take - profit at $2,200, the system will sell Ethereum when it reaches that price. Many exchanges and trading platforms, such as Binance, offer the option to set these types of automated orders.
  • Trailing stop orders: This is a more advanced form of stop - loss order. A trailing stop moves with the price of the cryptocurrency in the favorable direction. For instance, if an investor sets a trailing stop of 5% on a Bitcoin investment, and Bitcoin's price rises from $50,000 to $55,000, the trailing stop will adjust to $52,250 (5% below the new price). If the price then starts to decline, the order will be executed if it reaches $52,250, ensuring that the investor locks in a profit while still allowing for potential upside as long as the price keeps rising.
2. Portfolio Management Automation

a. Asset Allocation

  • Rebalancing bots: Cryptocurrency portfolios often consist of multiple digital assets. Over time, the value of each asset within the portfolio can change, causing the asset allocation to deviate from the original plan. Rebalancing bots automatically adjust the portfolio by selling over - performing assets and buying under - performing ones to bring the allocation back to the desired levels. For example, if a portfolio was initially allocated 60% to Bitcoin and 40% to Ethereum, but due to Bitcoin's significant price increase, it now represents 70% of the portfolio, the rebalancing bot will sell some Bitcoin and buy more Ethereum. Platforms like Pionex offer rebalancing bots as part of their suite of automated trading tools.
  • Dollar - cost averaging (DCA) bots: DCA is an investment strategy where an investor regularly invests a fixed amount of money in a particular cryptocurrency, regardless of its price. DCA bots automate this process. For instance, a user can set up a DCA bot to invest $100 in Litecoin every week. This strategy helps to reduce the impact of market volatility on the overall investment, as more coins are purchased when the price is low and fewer when the price is high. 3Commas' DCA Bot is a popular choice among traders for implementing this strategy.
b. Risk Assessment and Management

  • Automated risk scoring: Tools can analyze a cryptocurrency portfolio and assign a risk score based on various factors such as the volatility of each asset, the correlation between assets, and the overall exposure to different market sectors. For example, a portfolio with a high concentration of highly volatile altcoins may be assigned a higher risk score. This information can then be used to automatically adjust the portfolio, such as reducing the allocation to high - risk assets or adding more stable assets like stablecoins.
  • Margin call automation: For traders using margin trading, margin calls can be a significant risk. Margin call automation systems monitor the margin levels of a trader's positions. If the margin level drops below a certain threshold, the system will automatically close out positions to prevent further losses and avoid a negative balance. This is crucial in preventing traders from losing more than their initial investment in highly leveraged trades.
3. Smart Contract Automation

a. Trigger - based Contract Execution

  • Ankr Automation: This platform allows users to execute smart contract functions based on different triggers. For time - based triggers, a user can set a schedule for a contract function to be executed. For example, a decentralized finance (DeFi) application may use this to automatically distribute interest to users' accounts at the end of each month. For custom logic triggers, the contract function can be executed when a certain event occurs, such as when the price of a particular cryptocurrency reaches a specific level. However, for custom logic triggers, the contract needs to be compatible with the automation interface.
  • Automated loan repayment in DeFi: In DeFi lending platforms, smart contracts can be automated to repay loans when certain conditions are met. For example, if a borrower has set up a collateralized loan and the value of the collateral reaches a level where the loan - to - value ratio is no longer within the acceptable range, the smart contract can automatically sell a portion of the collateral to repay the loan and maintain the proper ratio. This helps to reduce the risk of default for lenders and ensures the stability of the DeFi lending ecosystem.
b. Contract Auditing and Monitoring

  • Automated security checks: Tools are being developed to automatically audit smart contracts for security vulnerabilities. These tools scan the code of the smart contract for common security issues such as re - entry attacks, integer overflows, and unprotected functions. For example, MythX is a smart contract security scanner that can be integrated into the development process to provide real - time feedback on the security of the contract. By automating these security checks, developers can catch and fix potential issues before the smart contract is deployed on the blockchain, reducing the risk of hacks and financial losses.
  • 性能监控:智能合约性能监控工具可以跟踪合约被调用的频率、每个函数调用的 gas 使用情况以及合约的整体响应时间。如果 DeFi 智能合约中的特定功能开始消耗异常大量的 gas,或者调用频率突然飙升,则可能表明存在问题,例如恶意攻击或代码效率低下。可以设置自动警报,以便在发生此类异常时通知开发人员或管理员,从而进行快速干预。
4. 数据分析和报告自动化

a. 市场数据聚合

  • 自动数据收集:加密货币市场数据有多种来源,包括交易所、区块链浏览器和社交媒体平台。自动数据收集工具实时汇总来自多个来源的数据。例如,他们可以收集来自各个交易所的价格数据、交易量数据以及与不同加密货币相关的新闻情绪数据。然后将这些综合数据用于分析。CoinGecko 和 CoinMarketCap 等服务使用自动数据收集为用户提供有关数千种加密货币的最新信息。
  • 数据规范化:由于来自不同来源的数据可能采用不同的格式,因此自动数据规范化工具使数据标准化。例如,来自一个交易所的价格数据可能以小数点后两位的美元报告,而另一个交易所可能以小数点后四位的美分报告。标准化工具会将所有价格数据转换为通用格式,以便于分析。这确保了在分析来自多个来源的数据时,结果准确且具有可比性。
b. 报告生成

  • 绩效报告:自动化系统可以为加密货币投资组合或交易策略生成详细的性能报告。这些报告包括总体投资回报率、投资组合的波动性、成功和不成功交易的数量以及每种资产对整体绩效的贡献等指标。例如,使用交易机器人的交易者可以收到每日或每周的绩效报告,显示机器人的表现,使他们能够就是否调整交易策略做出明智的决定。
  • 风险报告:也可以自动生成以风险为中心的报告。这些报告强调了投资组合中的潜在风险,例如市场波动的风险、特定加密货币贬值的风险以及基于多元化的整体投资组合风险。对于机构投资者或基金经理来说,这些自动风险报告对于合规性和做出战略投资决策至关重要。
 
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